Title :
Geothermal heating system economic model optimization based on improved genetic algorithm
Author :
Qi, Xue-ling ; Qi, Er-Shi ; Mu, Hao
Author_Institution :
Sch. of Manage., Tianjin Univ., Tianjin, China
Abstract :
This study built an economic model of the geothermal heating system by the annual cost method. The strengths of genetic algorithm and simulated annealing were integrated and utilized in the economic model. A case study verified that the optimized economic result and searching speed can be achieved by improved genetic algorithm.
Keywords :
economics; genetic algorithms; geothermal power; heating; simulated annealing; annual cost method; genetic algorithm; geothermal heating system economic model optimization; simulated annealing; Economics; Genetic algorithms; Geothermal energy; Heating; Investments; Simulated annealing; Annual cost method; Economic model; Genetic algorithm; Improved Genetic Algorithm; Simulated annealing;
Conference_Titel :
Industrial Engineering and Engineering Management (IE&EM), 2011 IEEE 18Th International Conference on
Conference_Location :
Changchun
Print_ISBN :
978-1-61284-446-6
DOI :
10.1109/ICIEEM.2011.6035122
